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Schneider Electric · 2 days ago

Principal, Product Manager – Data Service

Boston, MA

Full-time

Onsite

Senior Level, Lead/Staff

$139K/yr - $209K/yr

5+ years exp

Schneider Electric is seeking a Data Product Manager to lead the development of their Energy & Industrial data platform. This role focuses on enabling advanced analytics and AI-driven insights while collaborating with engineering and domain experts to define product vision and ensure alignment with business outcomes.

ElectronicsEnergyEnergy ManagementInformation TechnologyRenewable Energy

Growth Opportunities

No H1B

Responsibilities

Define and own the roadmap for the data platform, with focus on ingestion, processing and storage of data

Translate business needs into clear product requirements and success metrics

Contribute to the overall formation of data product strategy

Drive implementation of OneLake Medallion architecture, ingestion pipelines, and data product management frameworks

Good understanding of RDF stores, domain ontologies, and physical-to-semantic mapping processes

Collaborate with business domain experts, architects and engineers to meet real-world use cases

Act as the voice of the customer

Good understanding of data product lifecycle management, ontology stewardship, and compliance with security and privacy standards

Drive adoption through documentation, onboarding, and enablement programs

Qualification

Microsoft AzureData ArchitectureProduct ManagementIndustrial BackgroundAI/ML PlatformsData GovernanceCommunicationLeadership

Required

Industrial Background : Experience in manufacturing, energy, or process industries with understanding of OT/IT integration

Cloud Expertise : Hands-on experience with Microsoft Azure data services (Azure Data Lake, Synapse, Event Hub, Data Factory, Purview)

Data Architecture Knowledge : Familiarity with Medallion architecture, data pipelines, and semantic technologies (RDF, SPARQL, SHACL)

Product Management Skills : Proven ability to define roadmaps, write user stories, and manage backlog in Agile environments

Communication & Leadership : Strong ability to influence cross-functional teams and articulate technical concepts to business stakeholders

Preferred

Experience: 5+ years building cloud data/industrial IoT platforms (with hands‑on telemetry ingestion & streaming/processing), including 2+ years in product management—ideally following an architect/developer path; exposure to commercial data platforms (Azure/Microsoft, Databricks, Snowflake, MongoDB, PTC) preferred

Experience with AI/ML platforms (Azure Machine Learning, feature stores, MLOps)

Knowledge of industrial data standards (OPC UA, ISA-95, ISO 50001)

Familiarity with knowledge graphs, ontologies, and semantic data modeling

Exposure to data governance frameworks and compliance requirements